Bootstrap Confidence Intervals
Thomas J. DiCiccio,Bradley Efron +1 more
TLDR
Bootstrap methods for estimating confidence intervals have been surveyed in this article, with a focus on improving the accuracy of the standard confidence intervals in a way that allows routine application even to very complicated problems.Abstract:
This article surveys bootstrap methods for producing good approximate confidence intervals. The goal is to improve by an order of magnitude upon the accuracy of the standard intervals $\hat{\theta} \pm z^{(\alpha)} \hat{\sigma}$, in a way that allows routine application even to very complicated problems. Both theory and examples are used to show how this is done. The first seven sections provide a heuristic overview of four bootstrap confidence interval procedures: $BC_a$, bootstrap-t , ABC and calibration. Sections 8 and 9 describe the theory behind these methods, and their close connection with the likelihood-based confidence interval theory developed by Barndorff-Nielsen, Cox and Reid and others.read more
Citations
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Factors Influencing and Steps Leading to the Adoption of Best Management Practices by Louisiana Dairy Farmers
TL;DR: A logistic regression procedure was used to assess the impact of socioeconomic attributes on the best management practices (BMPs) adoption decision by Louisiana dairy farmers relative to cost-share and fixed incentive payments.
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Detection of Prostate Cancer by an Electronic Nose: A Proof of Principle Study
Antti Roine,Erik Veskimäe,Antti Tuokko,Pekka Kumpulainen,Juha Koskimäki,Tuomo A. Keinänen,Merja R. Häkkinen,Jouko Vepsäläinen,Timo Paavonen,Jukka Lekkala,Terho Lehtimäki,Teuvo L.J. Tammela,Niku Oksala +12 more
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Competing physiological pathways link individual differences in weight and abdominal adiposity to white matter microstructure
Timothy Verstynen,Andrea M. Weinstein,Andrea M. Weinstein,Kirk I. Erickson,Kirk I. Erickson,Lei K. Sheu,Anna L. Marsland,Peter J. Gianaros,Peter J. Gianaros +8 more
TL;DR: These results provide the first evidence for contrasting physiological pathways, a globally distributed immunity-linked negative component and a more localized vascular-linked positive component, that associate adiposity to individual differences in the microstructure of white matter tracts in otherwise healthy adults.
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Brainstem network disruption: A pathway to sudden unexplained death in epilepsy?
Susanne G. Mueller,Maromi Nei,Lisa M. Bateman,Robert C. Knowlton,Kenneth D. Laxer,Daniel Friedman,Orrin Devinsky,Alica M. Goldman +7 more
TL;DR: An association is demonstrated between brainstem volume loss and impaired autonomic control (reduced heart rate variability [HRV] and between brain stem damage and time to SUDEP in patients who later died of SUDEP.
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Serotonin transporter polyadenylation polymorphism modulates the retention of fear extinction memory
Catherine A. Hartley,Morgan C. McKenna,Rabia Salman,Andrew Holmes,B. J. Casey,Elizabeth A. Phelps,Charles E. Glatt +6 more
TL;DR: It is shown that the risk allele of this polymorphism is associated with impaired retention of fear extinction memory and heightened anxiety and depressive symptoms in humans, highlighting the STPP as a potential genetic locus underlying interindividual differences in serotonin transporter function in humans.
References
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Book
An introduction to the bootstrap
Bradley Efron,Robert Tibshirani +1 more
TL;DR: This article presents bootstrap methods for estimation, using simple arguments, with Minitab macros for implementing these methods, as well as some examples of how these methods could be used for estimation purposes.
Journal ArticleDOI
Bootstrap Methods: Another Look at the Jackknife
TL;DR: In this article, the authors discuss the problem of estimating the sampling distribution of a pre-specified random variable R(X, F) on the basis of the observed data x.
Book
Bootstrap Methods and Their Application
Anthony C. Davison,David Hinkley +1 more
TL;DR: In this paper, a broad and up-to-date coverage of bootstrap methods, with numerous applied examples, developed in a coherent way with the necessary theoretical basis, is given, along with a disk of purpose-written S-Plus programs for implementing the methods described in the text.
Journal ArticleDOI
Better Bootstrap Confidence Intervals
TL;DR: In this article, the authors consider the problem of setting approximate confidence intervals for a single parameter θ in a multiparameter family, and propose a method to automatically incorporate transformations, bias corrections, and so on.
Beiter Bootstrap Confidence Intervals
TL;DR: In this article, the authors consider the problem of setting approximate confidence intervals for a single parameter 0 in a multiparameter family, and propose the bootstrap confidence intervals that automatically incorporate transformations, bias corrections, and so forth.